Triple
T7346973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Kurdish |
E169403
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Wasit Governorate |
E411027
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wasit Governorate | Statement: [Southern Kurdish, region, Wasit Governorate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wasit Governorate Context triple: [Southern Kurdish, region, Wasit Governorate]
-
A.
Wasit Governorate
chosen
Wasit Governorate is an administrative region in eastern Iraq known for its agricultural lands along the Tigris River and its capital city, Kut.
-
B.
Hama Governorate
Hama Governorate is an administrative region in west-central Syria known for its agricultural production and the historic city of Hama as its capital.
-
C.
Afif Governorate
Afif Governorate is an administrative region in central Saudi Arabia known for its desert landscapes and location within the broader Riyadh area.
-
D.
Rimah Governorate
Rimah Governorate is an administrative region in central Saudi Arabia situated within Riyadh Province, known for its desert landscapes and small towns.
-
E.
Al-Hareeq Governorate
Al-Hareeq Governorate is an administrative region in central Saudi Arabia known for its agricultural areas and traditional settlements within Riyadh Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0f14f308190a9e5cb76c7790e49 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c925264798819096e154ffa23ddfae |
completed | March 29, 2026, 1:12 p.m. |
Created at: March 27, 2026, 3:05 p.m.